3D Point Cloud Encoding Leaf Node Flag for Data Integrity
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Solution Overview
Problem
Current three-dimensional data encoding methods generate erroneous data and lack efficient methods for transmitting and receiving required information, particularly in point cloud data applications, where conventional encoding structures fail to support network bandwidth reduction and multiplexing of encoded data.
Innovation Solution
A three-dimensional data encoding method that sets specific information values in bitstreams to indicate the presence or absence of three-dimensional points in leaf nodes, allowing for accurate encoding and decoding of point cloud data, and a system configuration that includes encoding and decoding devices capable of multiplexing and demultiplexing point cloud data using two codecs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If combine coding is performed to compress point cloud data, then data compression efficiency is improved, but erroneous data generation increases due to incorrect leaf node processing
Solution Approach 1:
The patent introduces a feedback mechanism where the decoder checks the `first information` flag to verify whether combine coding was performed. Based on this feedback, the decoder adjusts its processing behavior accordingly - either processing leaf nodes as containing three-dimensional points or skipping them entirely. This feedback loop prevents erroneous data generation by ensuring the decoder's processing mode matches the encoder's actual operations.
Solution Approach 2:
The patent applies preliminary action by setting the `first information` flag before encoding begins. This flag预先 indicates whether combine coding will be performed, allowing the decoder to prepare its processing logic in advance. By establishing this information upfront, the system avoids runtime errors and ensures consistent processing behavior throughout the encoding-decoding process.
2Device complexity
If conventional encoding structures are used, then implementation simplicity is maintained, but network bandwidth reduction capability is insufficient
Solution Approach 1:
The patent enhances the encoding structure with multi-functionality by incorporating the `first information` flag that serves multiple purposes: it indicates whether combine coding is performed, guides leaf node processing decisions, and enables efficient bandwidth utilization. This additional information element provides universal guidance for the decoding process without significantly increasing implementation complexity.
3Productivity
If point cloud data is encoded without proper leaf node handling, then encoding speed is maintained, but data integrity deteriorates
Solution Approach 1:
The patent applies local quality by treating leaf nodes differently based on the `first information` flag. When combine coding is performed, leaf nodes are processed with specific handling to maintain data integrity. When combine coding is not performed, leaf nodes are processed differently. This localized differentiation ensures data integrity is maintained in the critical leaf node regions without compromising overall encoding speed.
Data Source
AI summary
A three-dimensional data encoding method includes: when combine coding including (i) combining pieces of point cloud data to generate combined point cloud data and (ii) encoding the combined point cloud data is performed: setting first information to a first value, and generating a bitstream including the first information set, the first information indicating whether there is a possibility that each leaf node includes three-dimensional points, the first value indicating that there is the possibility that the leaf node includes the three-dimensional points; and when the combine coding is not performed: setting the first information to the first value or a second value, and generating a bitstream including the first information set, the second value indicating that there is no possibility that the leaf node includes the three-dimensional points.